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Mulder, Joas (author)Deformable Image Registration (DIR) is a medical imaging process involving the spatial alignment of two or more images using a transformation model that can account for non-rigid deformations. B-spline-based transformation models have emerged as a common approach to express such spatial alignments. However, without additional measures, their...master thesis 2023
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Bouter, P.A. (author)In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...doctoral thesis 2023
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Gavra, Vlad (author)Recent research in bio-inspired artificial intelligence potentially provides solutions to the challenging problem of designing fault-tolerant and robust flight control systems. The current work proposes SERL, a novel Safety-informed Evolutionary Reinforcement Learning algorithm, which combines Deep Reinforcement Learning (DRL) and neuro...master thesis 2023
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- Ruland, Oscar (author), Mkhoyan, T. (author), De Breuker, R. (author), Wang, Xuerui (author) journal article 2023
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Yildiz, B. (author), Ulukok, Mehtap Kose (author), Bashiry, Vali (author)This study aims to search for optimum design parameters for a slurry pipeline problem and optimum operation parameters for a multi-reservoir scheduling problem by using Bi-Attempted Base Optimization Algorithm (ABaOA), which has been recently developed as a numerical bidirectional search algorithm. The slurry pipeline problem is a constrained...journal article 2023
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Derakhshanfar, P. (author), Devroey, Xavier (author), Panichella, A. (author), Zaidman, A.E. (author), van Deursen, A. (author)Search-based approaches have been used in the literature to automate the process of creating unit test cases. However, related work has shown that generated tests with high code coverage could be ineffective, i.e., they may not detect all faults or kill all injected mutants. In this paper, we propose Cling, an integration-level test case...journal article 2023
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Owusu, A.G. (author)For most of the 20th century, the design and operation of dams prioritized traditional economic considerations such as hydropower generation, flood risk reduction and provision of water for irrigation and domestic use. This resulted in altered river flow regimes, degraded riverine ecosystems and ecosystem services, and biodiversity loss....doctoral thesis 2022
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Hoogenboom, Iwan (author)Solutions to many real-life optimization problems take a long time to evaluate. This limits the number of solutions we can evaluate. When optimizing with an Evolutionary Algorithm (EA) a frequently used approach is to approximate the objective using a surrogate function, replacing the time-consuming real evaluation. This surrogate model is...master thesis 2022
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Everse, Luc (author)Neural networks (NNs) have, in recent years, become a major part of modern pattern recognition, and both theoretical and applied research evolve at an astounding pace. NNs are usually trained via gradient descent (GD), but research has shown that GD is not always capable of training very small networks. As a result, networks trained via GD are...master thesis 2022
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Roseboom, Bart (author)Cyber-physical systems are complex systems constructed from different independent parts. A self-driving car is an example of a cyber-physical system where independent parts have to come together in order to result in a car that is able to drive by itself. The main challenge is finding failures within the interactions between the independent...master thesis 2022
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Veldkamp, Lisette (author)The continual increase in cyber crime revolving blockchain applications calls for secure blockchain systems and clarity on the division of security responsibilities. This research is an integrated project between two master programmes at the Delft University of Technology: Computer Science and Communication Design for Innovation, and focuses on...master thesis 2022
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van Meerten, Martijn (author)Distributed concurrency bugs (DC bugs) are bugs that are triggered by a specific order of events in distributed systems. Traditional model checkers systematically or randomly test interleavings but suffer from the state-space explosion in long executions. This thesis presents DiscoTest, a testing tool for DC bugs in blockchain consensus...master thesis 2022
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Rietveld, Jip (author)Renewable energy generation projects are often measured by their peak capacity. A wind farm rated at 25 MW will generate 25 MW of power under the right circumstances. This peak capacity is reached very little in practice. However, these generators are forced to purchase grid operation infrastructure that can handle this peak generation event....master thesis 2022
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- Bakker, Matthias (author) master thesis 2022
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Scholman, Renzo (author)Even if a Multi-modal Multi-Objective Evolutionary Algorithm (MMOEA) is designed to find all locally optimal approximation sets of a Multi-modal Multi-objective Optimization Problem (MMOP), there is a risk that the found approximation sets are not smoothly navigable because the solutions belong to various niches, which reduces the insight for...master thesis 2022
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LU, Jingyi (author)Inspired by the natural nervous system, synaptic plasticity rules are applied to train spiking neural networks. Different from learning algorithms such as propagation and evolution that are widely used to train spiking neural networks, synaptic plasticity rules learn the parameters with local information, making them suitable for online learning...master thesis 2022
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Treurniet, Wiljo (author)To achieve the goals on greenhouse gas emissions, the energy supply and demand is in transition. Distribution power grids therefore are increasingly reaching their capacity limits due to electrification and the vast increase of distributed energy resource (DER) connection requests with large peak power output. Increasing physical grid capacity...master thesis 2022
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Panichella, A. (author)A key idea in many-objective optimization is to approximate the optimal Pareto front using a set of representative non-dominated solutions. The produced solution set should be close to the optimal front (convergence) and well-diversified (diversity). Recent studies have shown that measuring both convergence and diversity depends on the shape (or...conference paper 2022
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Dushatskiy, A. (author), Lowe, Gerry (author), Bosman, P.A.N. (author), Alderliesten, T. (author)Deep learning algorithms have become the golden standard for segmentation of medical imaging data. In most works, the variability and heterogeneity of real clinical data is acknowledged to still be a problem. One way to automatically overcome this is to capture and exploit this variation explicitly. Here, we propose an approach that improves...conference paper 2022
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Guijt, Arthur (author), Thierens, Dirk (author), Alderliesten, T. (author), Bosman, P.A.N. (author)Model-Based Evolutionary Algorithms (MBEAs) can be highly scalable by virtue of linkage (or variable interaction) learning. This requires, however, that the linkage model can capture the exploitable structure of a problem. Usually, a single type of linkage structure is attempted to be captured using models such as a linkage tree. However, in...conference paper 2022